Python reportlab.pdfgen.canvas.Canvas() Examples

The following are 30 code examples of reportlab.pdfgen.canvas.Canvas(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module reportlab.pdfgen.canvas , or try the search function .
Example #1
Source File: pdfgenerator.py    From anti-XSS with MIT License 7 votes vote down vote up 
def __init__(self, text=[], target='your website', pdfName='Report.pdf'):
        self.__target = target
        self.__pdfName = self.__path + pdfName
        self.__text = text
        if not os.path.exists('result/'):
            os.mkdir(r'result/')
        time = datetime.datetime.today()
        date = time.strftime("%h-%d-%Y %H:%M:%S")
        c = canvas.Canvas(self.__pdfName)
        c.setPageSize((16 * inch,22 * inch))
        textobj = c.beginText()
        textobj.setTextOrigin(inch, 20 * inch)
        textobj.textLines('''
            This is the scanning report of %s.
            ''' %self.__target)
        textobj.textLines('''
            Date: %s
            ''' % date)
        for line in self.__text:
            textobj.textLine(line.strip())
        c.drawText(textobj)
        c.showPage()
        c.save()
Example #2
Source File: doctemplate.py    From Fluid-Designer with GNU General Public License v3.0 7 votes vote down vote up 
def build(self,flowables,onFirstPage=_doNothing, onLaterPages=_doNothing, canvasmaker=canvas.Canvas):
        """build the document using the flowables.  Annotate the first page using the onFirstPage
               function and later pages using the onLaterPages function.  The onXXX pages should follow
               the signature

                  def myOnFirstPage(canvas, document):
                      # do annotations and modify the document
                      ...

               The functions can do things like draw logos, page numbers,
               footers, etcetera. They can use external variables to vary
               the look (for example providing page numbering or section names).
        """
        self._calc()    #in case we changed margins sizes etc
        frameT = Frame(self.leftMargin, self.bottomMargin, self.width, self.height, id='normal')
        self.addPageTemplates([PageTemplate(id='First',frames=frameT, onPage=onFirstPage,pagesize=self.pagesize),
                        PageTemplate(id='Later',frames=frameT, onPage=onLaterPages,pagesize=self.pagesize)])
        if onFirstPage is _doNothing and hasattr(self,'onFirstPage'):
            self.pageTemplates[0].beforeDrawPage = self.onFirstPage
        if onLaterPages is _doNothing and hasattr(self,'onLaterPages'):
            self.pageTemplates[1].beforeDrawPage = self.onLaterPages
        BaseDocTemplate.build(self,flowables, canvasmaker=canvasmaker)
Example #3
Source File: PlotDecomposition_SBS1536.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):
	# Note: 0th index contains the title of the column
	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])

	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()
Example #4
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):

	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])


	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()
Example #5
Source File: pycanvas.py    From stdm with GNU General Public License v2.0 6 votes vote down vote up 
def __init__(self, *args, **kwargs) :
        """Initialize and begins source code."""
        self._parent = self     # nice trick, isn't it ?
        self._in = 0
        self._contextlevel = 0
        self._pagenumber = 1
        self._formnumber = 0
        self._footerpresent = 0
        self._object = canvas.Canvas(*args,**kwargs)
        self._enforceColorSpace = self._object._enforceColorSpace
        self._pyfile = cStringIO.StringIO()
        self._PyWrite(PyHeader)
        try :
            del kwargs["filename"]
        except KeyError :
            pass
        self._PyWrite("    # create the PDF document\n    %s = Canvas(file, %s)\n\n    # Begins page 1" % (self._name, buildargs(*args[1:], **kwargs)))
Example #6
Source File: pdfencrypt.py    From stdm with GNU General Public License v2.0 6 votes vote down vote up 
def __init__(self, userPassword, ownerPassword=None, canPrint=1, canModify=1, canCopy=1, canAnnotate=1, strength=40):
        '''
        This class defines the encryption properties to be used while creating a pdf document.
        Once initiated, a StandardEncryption object can be applied to a Canvas or a BaseDocTemplate.
        The userPassword parameter sets the user password on the encrypted pdf.
        The ownerPassword parameter sets the owner password on the encrypted pdf.
        The boolean flags canPrint, canModify, canCopy, canAnnotate determine wether a user can
        perform the corresponding actions on the pdf when only a user password has been supplied.
        If the user supplies the owner password while opening the pdf, all actions can be performed regardless
        of the flags.
        Note that the security provided by these encryption settings (and even more so for the flags) is very weak.
        '''
        self.ownerPassword = ownerPassword
        self.userPassword = userPassword
        if strength == 40:
            self.revision = 2
        elif strength == 128:
            self.revision = 3
        self.canPrint = canPrint
        self.canModify = canModify
        self.canCopy = canCopy
        self.canAnnotate = canAnnotate
        self.O = self.U = self.P = self.key = None
Example #7
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    
    num_plts = num_bases - 1
    if(num_bases>= 5):
        
        num_plts = 4
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, \
                         BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.
Example #8
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_statistics(c_draw, statistics):
	cos_sim = statistics["Cosine Similarity"][0]
	cor_coeff = statistics["Correlation Coefficient"][0]
	l1_norm_percent = statistics["L1 Norm %"][0]
	l2_norm_percent = statistics["L2 Norm %"][0]
	kl_divergence = statistics["KL Divergence"][0]


	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-90, \
		"Cosine Similarity: " + str(cos_sim))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-100, \
		"Correlation: " + str(cor_coeff))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-110, \
		"L1 Error %: " + str(l1_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-120, \
		"L2 Error %: " + str(l2_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-130, \
		"KL Divergence: " + str(kl_divergence))

# Helper function to resize bracket depending on number of bases plotted
# Parameters:
#	num_bases 	- (Integer) The number of bases to be plotted.
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
Example #9
Source File: pdf_form_display.py    From intake with MIT License 6 votes vote down vote up 
def __init__(self, display_form, letter_display=None, canvas=None):
        self.file = io.BytesIO()
        self.width, self.height = letter
        self.canvas = canvas
        if not canvas:
            self.canvas = Canvas(
                self.file,
                pagesize=letter)
            self.canvas.setAuthor('Clear My Record, Code for America')
        self.frame = Margin(
            u('1in'),
            u('.75in'),
            u('1in'),
            u('.75in'))
        self.form = display_form
        self.letter = letter_display
        self.cursor = Position(
            self.frame.left,
            self.height - self.frame.top
        )
        self.nice_date = \
            self.form.date_received.get_current_value().strftime("%B %-d, %Y")
Example #10
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/DBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #11
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/SBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #12
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_statistics(c_draw, statistics):
	cos_sim = statistics["Cosine Similarity"][0]
	cor_coeff = statistics["Correlation Coefficient"][0]
	l1_norm_percent = statistics["L1 Norm %"][0]
	l2_norm_percent = statistics["L2 Norm %"][0]
	kl_divergence = statistics["KL Divergence"][0]


	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-90, \
		"Cosine Similarity: " + str(cos_sim))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-100, \
		"Correlation: " + str(cor_coeff))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-110, \
		"L1 Error %: " + str(l1_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-120, \
		"L2 Error %: " + str(l2_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-130, \
		"KL Divergence: " + str(kl_divergence))

# Helper function to resize bracket depending on number of bases plotted
# Parameters:
#	num_bases 	- (Integer) The number of bases to be plotted.
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
Example #13
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    
    num_plts = num_bases - 1
    
    if(num_bases >= 5):
        num_plts = 4
        
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], mask='auto')


# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.
Example #14
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):

	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])


	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()
Example #15
Source File: PlotDecomposition_ID83.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/ID_sub_plots/"+bases[i][0] + "_" + project+".png", LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) + 30, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #16
Source File: PlotDecomposition_ID83.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    num_plts = num_bases - 1
    if(num_bases >= 5):
        num_plts = 4
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, BRACKET_SIZES[num_plts][0], width = 15, height = BRACKET_SIZES[num_plts][1], mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.
Example #17
Source File: PlotDecomposition_ID83.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):
	# Note: 0th index contains the title of the column
	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])


	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()
Example #18
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/DBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #19
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_statistics(c_draw, statistics):
	cos_sim = statistics["Cosine Similarity"][0]
	cor_coeff = statistics["Correlation Coefficient"][0]
	l1_norm_percent = statistics["L1 Norm %"][0]
	l2_norm_percent = statistics["L2 Norm %"][0]
	kl_divergence = statistics["KL Divergence"][0]


	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-90, \
		"Cosine Similarity: " + str(cos_sim))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-100, \
		"Correlation: " + str(cor_coeff))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-110, \
		"L1 Error %: " + str(l1_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-120, \
		"L2 Error %: " + str(l2_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-130, \
		"KL Divergence: " + str(kl_divergence))

# Helper function to resize bracket depending on number of bases plotted
# Parameters:
#	num_bases 	- (Integer) The number of bases to be plotted.
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
Example #20
Source File: PlotDecomposition_DBS78.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    
    num_plts = num_bases - 1
    if(num_bases>= 5):
        
        num_plts = 4
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, \
                         BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.
Example #21
Source File: PlotDecomposition_SBS1536.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/SBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #22
Source File: PlotDecomposition_SBS1536.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_statistics(c_draw, statistics):
	cos_sim = statistics["Cosine Similarity"][0]
	cor_coeff = statistics["Correlation Coefficient"][0]
	l1_norm_percent = statistics["L1 Norm %"][0]
	l2_norm_percent = statistics["L2 Norm %"][0]
	kl_divergence = statistics["KL Divergence"][0]


	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-90, \
		"Cosine Similarity: " + str(cos_sim))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-100, \
		"Correlation: " + str(cor_coeff))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-110, \
		"L1 Error %: " + str(l1_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-120, \
		"L2 Error %: " + str(l2_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-130, \
		"KL Divergence: " + str(kl_divergence))

# Helper function to resize bracket depending on number of bases plotted
# Parameters:
#	num_bases 	- (Integer) The number of bases to be plotted.
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
Example #23
Source File: PlotDecomposition_SBS1536.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
	num_plts = num_bases - 1
	if(num_bases >= 5):
		num_plts = 4

	c_draw.drawImage(paths+"src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, \
		BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], \
		mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.
Example #24
Source File: PlotDecomposition_SBS1536.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):
	# Note: 0th index contains the title of the column
	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])

	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()
Example #25
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/SBS_sub_plots/"+bases[i][0] + "_" + project+".png", \
			LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) - 10, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #26
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    
    num_plts = num_bases - 1
    
    if(num_bases >= 5):
        num_plts = 4
        
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, BRACKET_SIZES[num_plts][0], width = 20, height = BRACKET_SIZES[num_plts][1], mask='auto')


# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.
Example #27
Source File: PlotDecomposition_SBS96.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def gen_decomposition(denovo_name, basis_names, weights, output_path, project, reconstruction, statistics):

	c = canvas.Canvas(output_path+"/"+denovo_name+"_decomposition_"+project+".pdf", pagesize=letter)
	c.setPageSize(landscape(letter))
	c.setFont("Arial-Bold", 7.19)

	basis_plots = []
	for i in range(0,len(basis_names)):
		basis_plots.append([basis_names[i], weights[i]])


	# create for loop to iterate through list, then change second value in list of lists
	# Otherwise sorts strings and then 5.14% > 48.54%
	for j in range(0, len(basis_names)):
		basis_plots[j][1] = float(basis_plots[j][1].strip("%"))
	sorted_list = sorted(basis_plots, key=lambda tup: tup[1], reverse=True)

	gen_plot(denovo_name, sorted_list, output_path, project, c, reconstruction, statistics)

	c.save()
Example #28
Source File: PlotDecomposition_ID83.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def plot_6_plus(bases, output_path, project, c_draw):
	for i in range(0,5):
		c_draw.drawImage(output_path+"/ID_sub_plots/"+bases[i][0] + "_" + project+".png", LAYOUT_5_GRAPH[i][X_COORD], LAYOUT_5_GRAPH[i][Y_COORD], width=WIDTH_GRAPH, height=HEIGHT_GRAPH)
		c_draw.drawString(LAYOUT_5_TEXT[i][X_COORD], LAYOUT_5_TEXT[i][Y_COORD], str(bases[i][1]) + "%")

	extra_sigs = "* "
	for i in range(5, len(bases)-1):
		extra_sigs += str(bases[i][0]) + " (" + str(bases[i][1]) + "%), "

	extra_sigs += bases[len(bases)-1][0] + " (" + str(bases[len(bases)-1][1]) + "%)"
	c_draw.drawString(GRAPH_X_COORD, (TEXT_Y_COORD - HEIGHT_GRAPH * 6) + 30, extra_sigs)

# Helper function to add calculations to layout
# Parameters:
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
#	statistics 	- (Pandas Dataframe) Dataframe w/ calculations
Example #29
Source File: PlotDecomposition_ID83.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_statistics(c_draw, statistics):
	cos_sim = statistics["Cosine Similarity"][0]
	cos_dist = statistics["Cosine Distance"][0]
	cor_dist = statistics["Correlation Distance"][0]
	cor_coeff = statistics["Correlation Coefficient"][0]
	l1_norm_percent = statistics["L1 Norm %"][0]
	l2_norm_percent = statistics["L2 Norm %"][0]
	kl_divergence = statistics["KL Divergence"][0]


	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-90, \
		"Cosine Similarity: " + str(cos_sim))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-100, \
		"Correlation: " + str(cor_coeff))
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-110, \
		"L1 Error %: " + str(l1_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-120, \
		"L2 Error %: " + str(l2_norm_percent) + "%")
	c_draw.drawString(WIDTH_GAP+15, LAYOUT_2_TEXT[1][Y_COORD]-130, \
		"KL Divergence: " + str(kl_divergence))

# Helper function to resize bracket depending on number of bases plotted
# Parameters:
#	num_bases 	- (Integer) The number of bases to be plotted.
#	c_draw 		- (Canvas) The canvas to draw the graph decomposition on.
Example #30
Source File: PlotDecomposition_ID83.py    From SigProfilerExtractor with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def draw_bracket(num_bases, c_draw):
    paths = cosmic.__path__[0]
    num_plts = num_bases - 1
    if(num_bases >= 5):
        num_plts = 4
    c_draw.drawImage(paths+"/src/Accolade_fermante.png", MID_WIDTH_LETTER - 15, BRACKET_SIZES[num_plts][0], width = 15, height = BRACKET_SIZES[num_plts][1], mask='auto')

# Parameters:
#   de_novo_name 	- (String) The name of the denovo signature.
#   basis_names		- (List of Strings) The names of the basis signatures
#	output_path 	- (String)	Path to where to save the output.
#	project			- (String)	The project name that is appended to file names.
#	c				- (Canvas)	The canvas that is being drawn on.
#	reconstruction	- (Boolean) True to create reconstruction
#	statistics		- (Pandas Dataframe) If reconstructing, then include statistics.
# Output:
#   A graph of the de_novo signature's decomposition.